认知无线网络中一种基于匹配和干扰量化的LTE-A上行资源共享机制

发布时间：2018-06-03 00:35

本文选题：认知无线网络 + LTE-A　；参考：《电子与信息学报》2014年07期

【摘要】：认知无线网络中基于OFDMA的次系统(SS)与LTE-A主系统(PS)以重叠方式共享频谱的问题越来越受到学术界重视,该文关注上述场景中的资源分配和干扰避免问题。该问题的困难在于资源分配子问题中带耦合干扰的功率分配问题是NP-难的。为了满足研究场景提出的时延约束,该文将提出两阶段资源分配算法:子载波分配阶段的最大权匹配方法和功率分配阶段的干扰量化分配方法,简记为MQRA算法。理论分析和仿真结果表明,该文提出的MQRA算法能够很好地平衡性能和复杂性,并适用于LTE-A主系统下的频谱共享问题。
[Abstract]:In cognitive wireless networks, the problem of sharing spectrum in overlapping mode between OFDMA based sub-system and LTE-A master system is paid more and more attention. This paper focuses on resource allocation and interference avoidance in the above scenarios. The difficulty of this problem is that the power allocation problem with coupling interference in the resource allocation subproblem is NP-difficult. In order to meet the delay constraints proposed in the research scenario, this paper proposes a two-stage resource allocation algorithm: the maximum weight matching method in the subcarrier allocation phase and the interference quantization allocation method in the power allocation phase, which is abbreviated as MQRA algorithm. Theoretical analysis and simulation results show that the proposed MQRA algorithm can balance performance and complexity well, and is suitable for spectrum sharing in LTE-A master system.
【作者单位】：清华大学微波与数字通信国家重点实验室;电子信息系统复杂电磁环境效应国家重点实验室;
【基金】：电子信息系统复杂电磁环境效应国家重点实验室开放课题清华大学电子工程系传信研究基金资助课题
【分类号】：TN929.5

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